Triple
T18301426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahoo! Answers |
E438364
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
Quora
Quora is a popular question-and-answer platform where users ask questions, provide expert or experience-based answers, and collaboratively curate knowledge on a wide range of topics.
|
E1317525
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Quora | Statement: [Yahoo! Answers, competesWith, Quora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quora Context triple: [Yahoo! Answers, competesWith, Quora]
-
A.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
B.
QUE
QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
-
C.
Quant
Quant is a character in W. H. Auden’s long poem "The Age of Anxiety," representing one of the four strangers whose introspective conversations explore themes of identity, faith, and modern disillusionment.
-
D.
Qus
Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
-
E.
Q’s
Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quora Triple: [Yahoo! Answers, competesWith, Quora]
Generated description
Quora is a popular question-and-answer platform where users ask questions, provide expert or experience-based answers, and collaboratively curate knowledge on a wide range of topics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quora Target entity description: Quora is a popular question-and-answer platform where users ask questions, provide expert or experience-based answers, and collaboratively curate knowledge on a wide range of topics.
-
A.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
B.
QUE
QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
-
C.
Quant
Quant is a character in W. H. Auden’s long poem "The Age of Anxiety," representing one of the four strangers whose introspective conversations explore themes of identity, faith, and modern disillusionment.
-
D.
Qus
Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
-
E.
Q’s
Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5e1fb481908a0b98ea130eda71 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bdb3fb3c819095192ac49e809f55 |
completed | May 12, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c193a0a08190b33d80d45f3ed0f0 |
completed | May 13, 2026, 12:10 a.m. |
Created at: April 10, 2026, 10:35 a.m.